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Sustainability State of Construction Equipment Fleet in the State of California
The aim of this thesis is to provide a tool for contractors to select optimal equipment for projects, which will increase cost efficiency and reduce environmental impacts. The target geographic area for this research is the state of California, and the considered type of machinery is heavy construction equipment. In part, this research presents a modified mathematical model, as a decision-making tool, to minimize cost and emission of construction equipment, while meeting project requirements. The optimization model facilitates construction companies in selecting more efficient and sustainable equipment, while also avoiding penalties associated with non-compliance with the state’s environmental regulations. Such approach may lead to more profit by increasing the number of projects due to growing public sentiment towards environmentally friendly businesses. This model uses particular types of fleet data and project data. Construction equipment related data includes fleet size, equipment type, number, model, and year. Project related data includes project’s volumes, schedule, resources, and technical issues described by the contractors. Once this information was collected from equipment rental agencies throughout different geographic locations in California, a spreadsheet incorporated this information, along with mathematical calculations for estimated emissions, as well as the capacity for each type of equipment.
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